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If you think about it, the secret sauce tends to be in the data they're able to capture and input into the recommendation algorithms rather than the recommendation algorithm itself.

I mean, even Tiktok has papers detailing their recommendation algorithm [1]. So does Youtube and plenty of others.

It's all in the data now a days.

[1] https://arxiv.org/pdf/2209.07663.pdf

It's been OSS for a while - https://github.com/twitter/the-algorithm

To be more precise, there is a snapshot of a subset of the algorithm available as AGPL at that address.

Hasn’t that already happened?

Kinda. Something got dumped with very few updates since the first month. The last few commits specifically mention open source which would indicate there's a private version somewhere with more changes.

https://github.com/twitter/the-algorithm